Edge Copy setup link
Skill evidence / ad-platform-selection
Skill profile

ad-platform-selection

Decide which paid channel families fit a business's economics.

What this skill does for you

Decide which paid channel families fit a business's economics, audience, funnel stage, and budget at campaign setup - paid search, paid social, short-form video, connected TV, native/discovery, retail media, programmatic display, podcast/audio, paid review listings, B2B professional networks - including whether each is affordable against allowable CAC and payback. Use whenever the user asks where to spend a new ad budget, which platform to advertise on, how to build a paid channel mix, whether a channel is worth trying, or compares two ad channels - even if they never say 'channel selection'. Covers B2B and B2C. Do NOT use to split an ongoing budget across existing campaigns - use mbfinotti/advertising-skills@ad-spend-allocation instead.

Quoted from the skill description in the pinned source

Who made it

Publishermbfinotti
Installs819as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the ad-platform-selection skill from mbfinotti/advertising-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 7ede9c641c67d03fed5df54613f14e3d999a8716. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 7ede9c641c67d03fed5df54613f14e3d999a8716. Raw findings: . Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 7ede9c641c67d03fed5df54613f14e3d999a8716. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/mbfinotti/advertising-skills
Pinned skill file
View source at revision
Revision
7ede9c641c67d03fed5df54613f14e3d999a8716
Package hash
sha256:b855cfd22698827d1a5d2180d228c6615eca40ce52b0370082ef511e5966679e
Licence
MIT